Difference between revisions of "Manuals/calci/ARROWHEAD"
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(Created page with "<div style="font-size:30px">'''ARROWHEAD'''</div><br/>") |
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− | <div style="font-size:30px">''' | + | <div style="font-size:30px">'''MATRIX("ARROEHEAD",order)'''</div><br/> |
+ | *<math>order</math> is the order of the arrowhead matrix. | ||
+ | |||
+ | ==Description== | ||
+ | *This function returns the matrix with the type arrowhead. | ||
+ | *In mathematical, a square matrix containing zeros in all entries except for the first row first column and main diagonal. | ||
+ | *i.e., The matrix of the form | ||
+ | A= [* * * * * | ||
+ | * * 0 0 0 | ||
+ | * 0 * 0 0 | ||
+ | * 0 0 * 0 | ||
+ | * 0 0 0 *]. | ||
+ | A= <math>\begin{bmatrix} | ||
+ | * & * & *& * & * \\ | ||
+ | * & * & 0 & 0 & 0 \\ | ||
+ | * & 0 & * & 0 & 0 \\ | ||
+ | \end{bmatrix}</math> | ||
+ | *So in Calci, the elements of the arrowhead matirx are 1 except 1st row and column and main diagonal. | ||
+ | *The matrix has the form Any symmetric permutation of the arrowhead matrix, where P is a permutation matrix is a arrowhead matrix. | ||
+ | *i.e.,P^T A P where P is a permutation matrix is a arrowhead matrix. | ||
+ | *Real symmetric arrowhead matrices are often an essential tool for the computation of the eigenvalues |
Revision as of 08:23, 17 April 2015
MATRIX("ARROEHEAD",order)
- is the order of the arrowhead matrix.
Description
- This function returns the matrix with the type arrowhead.
- In mathematical, a square matrix containing zeros in all entries except for the first row first column and main diagonal.
- i.e., The matrix of the form
A= [* * * * *
* * 0 0 0 * 0 * 0 0 * 0 0 * 0 * 0 0 0 *].
A=
- So in Calci, the elements of the arrowhead matirx are 1 except 1st row and column and main diagonal.
- The matrix has the form Any symmetric permutation of the arrowhead matrix, where P is a permutation matrix is a arrowhead matrix.
- i.e.,P^T A P where P is a permutation matrix is a arrowhead matrix.
- Real symmetric arrowhead matrices are often an essential tool for the computation of the eigenvalues